Bibliographic record
Abstract
Nelda Veronica Schrupp was born the youngest of eleven children, to Cecilia and Henry McArthur. She grew up in Carlyle on the White Bear First Nation No. 70, a reserve in Saskatchewan. After attending various boarding schools, she immigrated to the United States where she met and married Stanley Schrupp in the early 1970s. In the late 1970s, they were blessed with a daughter Erin. After raising Erin to school age, Nelda returned to school and earned her Bachelor of Fine Arts degree from the University of North Dakota in 1990. She majored in art with a concentration in ceramics and a minor in jewelry and small sculpture. This exposure to metalwork enticed her to study this medium in more detail. She entered graduate school at the University of North Dakota where she received a Master of Fine Arts degree in metalsmithing, jewelry, and small sculpture in 1993. Upon graduation, Nelda dedicated all her energy into jumpstarting her career. She set up a studio and began producing her one-of-a-kind Amuletic Forms with Audio Esthetics (wearable and handheld rattles). Immediately she made her mark in the art world by winning at art shows with her distinctive style. With her career underway, the print media did not take long to take notice of her distinctive style. Her works have been published in numerous books, newspapers, and periodicals including First American Art Magazine, Native Peoples, Indian Artist Magazine,and Lois Sherr Dubin’s North American Indian Jewelry and Adornment: From Prehistory to Present. Nelda has work in major public collections including the Smithsonian American Art Museum and the National Museum of the American Indian (NMAI). In 1999 she was honored with the NMAI Artist Fellowship. Her time today is a delicate balance between family, studio time, teaching, and traveling to art competitions. Nelda has been invited to be the juror and judge at numerous art shows, notably, the Haskell Indian Art Market in Lawrence, Kansas, and Red Earth Festival in Oklahoma City, Oklahoma. Nelda's work can also be seen at the numerous art shows and fairs she attends each year. (https://neldaschrupp.wixsite.com/nelda)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.680 | 0.541 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".